Everyday AI Podcast – An AI and ChatGPT Podcast

EP 550: How a Transformative Data Strategy Powers AI Success

29 snips
Jun 19, 2025
Guest
Ashish Verma
Ashish Verma, the US Chief Data and Analytics Officer at Deloitte, shares his insights on harnessing data for AI success. He emphasizes that merely deploying LLMs won't cut it; a transformative data strategy is crucial. The conversation dives into the significance of data quality, the challenges of integrating both structured and unstructured data, and the intricacies of agentic AI. Verma also addresses data labeling complexities and the evolving role of contextual data in enhancing AI applications, making a compelling case for strategic data management.
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INSIGHT

Data Is AI’s Real Fuel

  • AI and agent success critically depends on having the right data, not just technology.
  • Organizations must source internal, partner, third-party, and synthetic data to fuel AI effectively.
ADVICE

Create a Data Marketplace

  • Build a data marketplace to centralize and catalog diverse data feeds for ease of access and compliance.
  • Connect data usage with compute environment and business ambitions to scale AI effectively.
ANECDOTE

Contextualizing Resumes for Staffing

  • Deloitte transformed its vast unstructured resume database by indexing and contextualizing it for efficient talent matching.
  • This automated resource matching previously done manually by resource managers.
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